# if this path is for failover_ram and has no chils, e.g.
# '/home/nick/buffer/Aerospike/Aerospike/failover_ram/async/50_percent_max_throughput'
if 'failover' in path[0] and len(path[1]) == 0:
paths.append(path[0])
# paths = filter(lambda s: "Aerospike26" in s, paths)
# now the list of dirs formed, generate the pictures
h = hpy()
collect = []
for path in paths:
if path == '/home/nick/buffer/Aerospike/Aerospike26NewClients/failover_ram/sync/50_percent_max_throughput':
print('here')
os.chdir(path)
sys.argv = ["", "series.txt"]
if True:
try:
timeseries_merge.merge(collect)
name = timeseries_draw.draw()
# move this new wonderful file to XGraphs
src_name = timeseries_draw.file_name_with_ext(name)
tgt_name = postfix + src_name
os.rename(src_name, tgt_name)
except:
print(sys.exc_info()[0], file=sys.stderr)
else:
update_collect(collect)
print("done with %s" % path)
# print("memory = %s" % h.heap())
keyz_ram = filter(lambda s: len(s) > 0, keyz_ram_str.split("\n"))
with open("/home/nick/buffer/collect.txt", "w") as f:
cw = csv.writer(f, dialect='excel-tab')
# if this path is for failover_ram and has no chils, e.g.
# '/home/nick/buffer/Aerospike/Aerospike/failover_ram/async/50_percent_max_throughput'
if 'failover' in path[0] and len(path[1]) == 0:
paths.append(path[0])
# paths = filter(lambda s: "Aerospike26" in s, paths)
# now the list of dirs formed, generate the pictures
h = hpy()
collect = []
for path in paths:
if path == '/home/nick/buffer/Aerospike/Aerospike26NewClients/failover_ram/sync/50_percent_max_throughput':
print('here')
os.chdir(path)
sys.argv = ["", "series.txt"]
if True:
try:
timeseries_merge.merge(collect)
name = timeseries_draw.draw()
# move this new wonderful file to XGraphs
src_name = timeseries_draw.file_name_with_ext(name)
tgt_name = postfix + src_name
os.rename(src_name, tgt_name)
except:
print(sys.exc_info()[0], file=sys.stderr)
else:
update_collect(collect)
print("done with %s" % path)
# print("memory = %s" % h.heap())
keyz_ram = filter(lambda s: len(s) > 0, keyz_ram_str.split("\n"))
with open("/home/nick/buffer/collect.txt", "w") as f:
cw = csv.writer(f, dialect='excel-tab')
import os
import sys
import timeseries_draw
import timeseries_merge
if __name__ == "__main__":
# this script goes over all dirs and subdirs under
# prefix and selects all paths that do 'failover_ram'
# tests. For each path under the condition the graph is built
prefix = "/home/nick/buffer/Aerospike"
paths = []
for path in os.walk(prefix):
# if this path is for failover_ram and has no chils, e.g.
# '/home/nick/buffer/Aerospike/Aerospike/failover_ram/async/50_percent_max_throughput'
if 'failover' in path[0] and len(path[1]) == 0:
paths.append(path[0])
# now the list of dirs formed, generate the pictures
for path in paths:
os.chdir(path)
sys.argv = ["", "series.txt"]
timeseries_merge.merge()
timeseries_draw.draw()
print "done with %s" % path
# ts_merge = "/home/nick/ycsb/bin/timeseries_merge.py"
# ts_draw = "/home/nick/ycsb/bin/timeseries_draw.py"
# os.system("cd %s; %s | %s" % (path, ts_merge, ts_draw))
print "all walking done!"
